KR20180084580A - Device and method to generate abstractive summaries from large multi-paragraph texts, recording medium for performing the method - Google Patents
Device and method to generate abstractive summaries from large multi-paragraph texts, recording medium for performing the method Download PDFInfo
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- KR20180084580A KR20180084580A KR1020170030546A KR20170030546A KR20180084580A KR 20180084580 A KR20180084580 A KR 20180084580A KR 1020170030546 A KR1020170030546 A KR 1020170030546A KR 20170030546 A KR20170030546 A KR 20170030546A KR 20180084580 A KR20180084580 A KR 20180084580A
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- G06F17/2705—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
Abstract
A device for creating an abstract of multi-paragraph texts includes: an input unit for automatically dividing a document into paragraphs and transmitting the same; an encoding unit for transforming the paragraphs received from the input unit into an internal representation vector, generating, as an internal representation, a vector transformed through a recurrent neural network (RNN) including a multiple timescales grated recurrent unit (MTGRU) having multiple constants, and transmitting the internal representation; a decoding unit for decoding the internal representation received from the encoding unit through the RNN including the MTGRU and generating sentences by using linguistic modeling; and an output unit for collecting an abstract output of each paragraph to output the final abstract. Accordingly, an abstract expression is generated so that an abstract more similar to a man-made abstract can be created.
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PCT/KR2017/011747 WO2018135723A1 (en) | 2017-01-17 | 2017-10-24 | Device and method for generating abstract summary of multiple-paragraph text, and recording medium for performing same method |
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KR20170007888 | 2017-01-17 |
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109635103A (en) * | 2018-12-17 | 2019-04-16 | 北京百度网讯科技有限公司 | Abstraction generating method and device |
CN110147532A (en) * | 2019-01-24 | 2019-08-20 | 腾讯科技(深圳)有限公司 | Coding method, device, equipment and storage medium |
CN110389820A (en) * | 2019-06-28 | 2019-10-29 | 浙江大学 | A kind of private clound method for scheduling task carrying out resources based on v-TGRU model |
CN111026861A (en) * | 2019-12-10 | 2020-04-17 | 腾讯科技(深圳)有限公司 | Text abstract generation method, text abstract training method, text abstract generation device, text abstract training device, text abstract equipment and text abstract training medium |
KR20210125275A (en) * | 2020-04-08 | 2021-10-18 | 에스케이 주식회사 | Deep Learning based Document Summarization Method and System |
CN113704457A (en) * | 2021-07-23 | 2021-11-26 | 北京搜狗科技发展有限公司 | Abstract generation method and device and storage medium |
CN113743082A (en) * | 2021-09-16 | 2021-12-03 | 京东科技信息技术有限公司 | Data processing method, system, storage medium and electronic equipment |
KR20220091035A (en) * | 2020-12-23 | 2022-06-30 | 주식회사 카카오 | Summary evaluation device, control method thereof and summary evaluation program |
CN115982343A (en) * | 2023-03-13 | 2023-04-18 | 阿里巴巴达摩院(杭州)科技有限公司 | Abstract generation method, method and device for training abstract generation model |
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KR20170107015A (en) * | 2015-11-25 | 2017-09-22 | 바이두 유에스에이 엘엘씨 | End-to-end speech recognition |
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Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109635103A (en) * | 2018-12-17 | 2019-04-16 | 北京百度网讯科技有限公司 | Abstraction generating method and device |
CN109635103B (en) * | 2018-12-17 | 2022-05-20 | 北京百度网讯科技有限公司 | Abstract generation method and device |
CN110147532B (en) * | 2019-01-24 | 2023-08-25 | 腾讯科技(深圳)有限公司 | Encoding method, apparatus, device and storage medium |
CN110147532A (en) * | 2019-01-24 | 2019-08-20 | 腾讯科技(深圳)有限公司 | Coding method, device, equipment and storage medium |
CN110389820A (en) * | 2019-06-28 | 2019-10-29 | 浙江大学 | A kind of private clound method for scheduling task carrying out resources based on v-TGRU model |
CN111026861A (en) * | 2019-12-10 | 2020-04-17 | 腾讯科技(深圳)有限公司 | Text abstract generation method, text abstract training method, text abstract generation device, text abstract training device, text abstract equipment and text abstract training medium |
CN111026861B (en) * | 2019-12-10 | 2023-07-04 | 腾讯科技(深圳)有限公司 | Text abstract generation method, training device, training equipment and medium |
KR20210125275A (en) * | 2020-04-08 | 2021-10-18 | 에스케이 주식회사 | Deep Learning based Document Summarization Method and System |
KR20220091035A (en) * | 2020-12-23 | 2022-06-30 | 주식회사 카카오 | Summary evaluation device, control method thereof and summary evaluation program |
CN113704457A (en) * | 2021-07-23 | 2021-11-26 | 北京搜狗科技发展有限公司 | Abstract generation method and device and storage medium |
CN113704457B (en) * | 2021-07-23 | 2024-03-01 | 北京搜狗科技发展有限公司 | Method and device for generating abstract and storage medium |
CN113743082A (en) * | 2021-09-16 | 2021-12-03 | 京东科技信息技术有限公司 | Data processing method, system, storage medium and electronic equipment |
CN113743082B (en) * | 2021-09-16 | 2024-04-05 | 京东科技信息技术有限公司 | Data processing method, system, storage medium and electronic equipment |
CN115982343B (en) * | 2023-03-13 | 2023-08-22 | 阿里巴巴达摩院(杭州)科技有限公司 | Abstract generation method, and method and device for training abstract generation model |
CN115982343A (en) * | 2023-03-13 | 2023-04-18 | 阿里巴巴达摩院(杭州)科技有限公司 | Abstract generation method, method and device for training abstract generation model |
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